Latham (SWIM) Selling, General & Administrative (2020 - 2026)
Latham's Selling, General & Administrative was $37.62 million in Q2 2026, up 17.8% from $31.94 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Latham (SWIM) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Latham's Selling, General & Administrative was $134.21 million through Jun 27, 2026, up 13.7% year-over-year; for FY2025, it was $122.57 million, up 13.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $108.36 million in FY2024 (-1.8%), $110.3 million in FY2023 (-24.9%), $146.84 million in FY2022 (-32.6%) and $217.78 million in FY2021 (+154.6%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q2 2022.
- Compared with a year earlier, Selling, General & Administrative has increased for eight straight quarters, with growth averaging 15.8% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 139.2%); the worst was Q2 2022 (a decline of 56.1%).
- Per Business Quant data, SWIM's Selling, General & Administrative in the three quarters before Q2 2026 was $36.59 million (Q1 2026), $31.42 million (Q4 2025) and $28.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 97.89 Bn | 92.63 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 87.19 Bn | 84.95 Bn | 2.47 Bn | 1.41 Bn |
| 3 | Carrier Global | 46.36 Bn | 40.99 Bn | 1.94 Bn | 810.00 Mn |
| 4 | Comfort Systems Usa | 40.59 Bn | 34.55 Bn | 934.48 Mn | 314.17 Mn |
| 5 | Otis Worldwide | 28.61 Bn | 25.21 Bn | 1.14 Bn | 520.00 Mn |
| 6 | Allegion | 15.24 Bn | 13.95 Bn | 517.50 Mn | 262.80 Mn |
| 7 | James Hardie Industries | 15.18 Bn | 14.25 Bn | 548.70 Mn | 295.40 Mn |
| 8 | Masco | 14.99 Bn | 13.10 Bn | 868.00 Mn | 397.00 Mn |
| 9 | Carlisle Companies | 13.74 Bn | 10.09 Bn | 568.40 Mn | 199.30 Mn |
| 10 | Latham | 780.43 Mn | 780.43 Mn | 70.08 Mn | 37.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 37.62 Mn |
| Mar 28, 2026 | 36.59 Mn |
| Dec 31, 2025 | 31.42 Mn |
| Sep 27, 2025 | 28.59 Mn |
| Jun 28, 2025 | 31.94 Mn |
| Mar 29, 2025 | 30.62 Mn |
| Dec 31, 2024 | 27.19 Mn |
| Sep 28, 2024 | 28.34 Mn |
| Jun 29, 2024 | 26.59 Mn |
| Mar 30, 2024 | 26.25 Mn |
| Dec 31, 2023 | 23.60 Mn |
| Sep 30, 2023 | 23.43 Mn |
| Jul 1, 2023 | 30.21 Mn |
| Apr 1, 2023 | 33.06 Mn |
| Dec 31, 2022 | 33.06 Mn |
| Oct 1, 2022 | 26.75 Mn |
| Jul 2, 2022 | 41.80 Mn |
| Apr 2, 2022 | 45.23 Mn |
| Dec 31, 2021 | 47.24 Mn |
| Oct 2, 2021 | 48.07 Mn |
API Access
Latham Selling, General & Administrative API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SWIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();